Fung Institute for Engineering Leadership

Industry: Automobiles

Automobiles

The Future of Hauling – Autonomous Cargo Transporter

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Team: Guanqun Huang (ME), Mingguang Zhou (ME), Muireann Spain (ME), Nathan Srinivasan (ME), Wei Hu (ME) Advisors: Francesco Borrelli (ME), Xu Shen (ME) Reducing the amount of human error with repetitive tasks that may involve heavy loads can allow an improvement in operating efficiency and human safety, since humans are prone to injury and are… Read More »

Transportation Strategies for Smart Cities

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Team: Yuet Man Kan (CE), Tanat Vanichpipat (CE), Evan Christianson (CE), Pei-Wen Hu (CE), Eindra Aung (CE), Sushmitha Sree Gumireddy (CE), Cong Luo (CE) Advisor: Alexander Skabardonis (CE) Commuters everywhere experience frustration and delays due to traffic congestion. Dense urban areas such as San Francisco create the largest problems. The general solution is to expand… Read More »

[Zendar] Developing an Affordable Alternative for Autonomous Vehicle Localization using High-Definition Radar Images

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Team: David Scanlan (IEOR), Pierre-Louis Blossier (ME), Johan Gerfaux (IEOR), Bowen Wang (ME) Advisors: Jimmy Wang (Zendar), Lou Ggraniou (Zendar), Gabriel Gomes (ME) Localization of autonomous vehicles on the road currently relies on LiDAR (using lasers) and camera sensors which simultaneously map the environment around the car. Using high-definition radar images, we propose an algorithm… Read More »

[General Motors] Modeling the Energy Impact of Autonomous Vehicles

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Smoothing the Way to Save Energy Team: Eunice Pui (IEOR), Abby Shelton (IEOR), Shivam Mistry (IEOR), Louis du Chassin (ME), Kumudra Aung (ME), Julien Yu (IEOR) Advisors: Matt Zebiak (General Motors), Wayne Delker (Fung) The transportation sector was responsible for 28.5 percent of U.S. greenhouse gas emissions in 2016, but the automotive industry is trying… Read More »

Energy Impact of Autonomous Vehicles

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The team worked with GM to quantify the energy savings attainable through the introduction of autonomous vehicles (AVs) onto U.S. roadways. They developed a data model that estimated energy usage for human-driving trips and compared it with that for AV trips. Team: Paaras Agrawal, DevinaJain, Tay Jia Xi, Sarah Leong, Sai Kannan Sampath, Karl Schmidt… Read More »

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